github/codeql
Codeql
CodeQL is a semantic code analysis engine and vulnerability scanning tool that treats source code as data. It utilizes a static analysis query language to define complex patterns and security vulnerabilities within a code graph database.
The system represents source code as a relational database, enabling the execution of structural queries and data flow analysis. This approach allows for the detection of security flaws and coding errors across large-scale repositories.
The tool provides capabilities for automated code auditing, static analysis security testing, and custom vulnerability detection. Users can write specialized analysis queries or utilize standard libraries to identify systemic risks and specific bugs.
Features
- Graph-Relational Databases - Represents source code as a hybrid graph-relational database to enable complex structural and data flow analysis.
- Static Analysis Security Testing - Provides an automated system for detecting security flaws and coding errors across large scale source code repositories using static analysis.
- Codebase Analysis - Locates vulnerabilities at scale by executing queries across multiple repositories simultaneously.
- Security and Vulnerability Scanning - Identifies security flaws and coding errors by executing static analysis queries across multiple codebases.
- Code Analysis Query Languages - Provides a specialized query language to define complex logic and patterns for finding bugs within code.
- Code Analysis Pipelines - Processes raw source code through multiple extraction and compilation stages before executing analysis queries.
- Declarative Query Languages - Provides a declarative query language used to specify complex patterns and security vulnerabilities.
- Code Knowledge Graphs - Builds a graph-based index of source code symbols and relationships to enable deep semantic analysis.
- Logic Query Engines - Implements a query engine based on Datalog logic programming to find complex patterns in code.
- Schema-Driven Data Modeling - Maps diverse programming language constructs to a fixed set of relational tables for consistent cross-language analysis.
- Code Analysis Tools - Acts as a semantic engine that treats source code as data for analysis via a logic-based query language.
- Custom Detection Rules - Allows users to define custom detection rules to find tailored bug patterns within a codebase.
- Abstract Syntax Tree Parsing - Converts source code from multiple languages into abstract syntax trees for normalized semantic analysis.
- Static Code Analysis - Enables the definition of custom patterns and logic to find specific code structures or bugs.
- Interactive Query Development - Provides an interactive environment for writing and testing scanning logic with intelligent completion and navigation.
- Logic Library Abstractions - Provides a system of reusable logic modules to simplify complex queries by hiding raw database schema details.
- Standard Libraries - Includes standard libraries of pre-defined predicates to simplify the creation of complex analysis queries.
- Structural Code Audits - Performs automated audits of code structures to identify systemic flaws and security risks.
- Secure Development Lifecycles - Integrates automated code scanning into the development lifecycle to mitigate vulnerabilities before deployment.
- Code Analysis Frameworks - Semantic code analysis using dataflow queries.
- Code Analysis Platforms - Semantic code analysis using dataflow queries for multiple languages.
